In this report, the publisher tracks the progress of digital transformation in the healthcare industry, examines the business preparedness to embrace innovations, and uncovers the current and future technology-related investment trends.
Digital transformation steadily advancing in the pharmaceutical industry
Operations enablement and innovation continued to be the main purpose of digital transformation in the healthcare sector
The majority of survey respondents were optimistic about the growth of digital transformation in their organizations
Lack of specific skills and talents, insufficient funding, and organizational silos are hindering emerging technologies uptake
Digital privacy and data security issues and increased cyber risks were the leading concerns associated with digital transformation
Building a constant culture of change and strong leadership were seen as the most important drivers of a successful digital transformation
Pharma executives are prioritizing big data, digital media, and cloud computing for current investment, and AI, big data, and digital media for the near future
AI and big data are set to remain the most disruptive powers in the healthcare sector for the next two years
Key Highlights
Inflation can act as both obstacle and enabler for digital transformation
Lack of skills and talents is the top factor hindering digital transformation efforts
Digital privacy and data security and increased cyber risks are the main concerns associated with digitalization
Strong leadership and cultivating a culture of change are the key drivers to a successful digital transformation
Healthcare industry prioritizes big data and digital and cloud computing for current investments
AI and big data are touted as technologies that can bring disruptive change
Scope
- Benchmark the level of business readiness and adoption
- Better understand the business functions impacted the most
- Assess barriers to adoption
- Define requirements for success
- Determine the importance of emerging technologies to healthcare organizations
- Evaluate levels of investment and to identity current and future investment priorities
- Assess the impact of COVID-19, inflation, and other events on digitalization efforts
- Explore how artificial intelligence (AI) is disrupting the pharmaceutical sector
Reasons to Buy
- Stay up to date on the scope, challenges, and essentials for the digital transformation within the healthcare industry.
- Explore how innovations are transforming the healthcare industry and what impact on the sector these technologies will have in the near future.
- Develop and design your corporate strategies through an in-house expert analysis of the key factors of digital transformation and emerging technology in the halthcare sector.
- Develop business strategies by understanding the key factors of digital transformation and emerging technology in the healthcare sector.
- Identify emerging industry trends in the uptake of emerging technologies to gain a competitive advantage.
Table of Contents
1. Study Design2. Key Findings
3. Overview of Digital Transformation
4. Digital Transformation Strategy
5. Digital Transformation Objectives
6. Obstacles to Digital Transformation
7. Concerns Associated with Digital Transformation
8. Necessities for Digital Transformation
9. Emerging Technologies - Investment Trends
10. Artificial Intelligence
11. Case Studies
12. Summary of Key Findings
13. Appendix
14. About the Authors
15. Thematic Research Methodology
16. Contact the Publisher
List of Figures
Figure 1: Respondent Mix - Geography
Figure 2a: Respondent Mix - Seniority Level
Figure 2b: Respondent Mix - Seniority Level
Figure 3: Respondent Mix - Revenue
Figure 4a: Impact from Global Events on Digital Transformation
Figure 4b: Impact from Global Events on Digital Transformation, by geography
Figure 5a: Impact from Global Events on Digital Transformation - COVID-19
Figure 5b: Impact from Global Events on Digital Transformation - COVID-19, by geography
Figure 6: Digital transformation strategies 2019 - 2023
Figure 7: Departments benefiting the most 2023 vs 2022
Figure 8a: Data for large cap biopharma - Cost to bring a drug to market
Figure 8b: Data for large cap biopharma - Projected R&D returns
Figure 9: Improvement in processes 2023 vs 2022
Figure 10: DCTs - Trend Accelerated by COVID-19
Figure 11: Mobile Healthcare and Wearable Devices - the Most Common Virtual Components in DCTs
Figure 12: Impact on investment in emerging technologies by inflation and rising costs
Figure 13: Scope of digital transformations, 2023
Figure 14: Digital Transformation Objectives: A closer look by company size, 2023 vs 2022
Figure 15a: Outlook of digital transformation growth in the next 12 months
Figure 15b: Outlook of digital transformation growth in the next 12 months, by company size
Figure 15c: Outlook of digital transformation growth in the next 12 months, by geography
Figure 16: Obstacles to Digital Transformation, 2023
Figure 17a: A closer look at the top four obstacles: lack of specific skills and talents
Figure 17b: A closer look at the top four obstacles: lack of specific skills and talents, by geography
Figure 17c: A closer look at the top four obstacles: lack of specific skills and talents, by company size
Figure 17d: A closer look at the top four obstacles: insufficient funding
Figure 17e: A closer look at the top four obstacles: insufficient funding, by geography
Figure 17f: A closer look at the top four obstacles: insufficient funding, by company size
Figure 18a: A closer look at the top four obstacles: organizational silos
Figure 18b: A closer look at the top four obstacles: organizational silos, by geography
Figure 18c: A closer look at the top four obstacles: organizational silos, by company size
Figure 18d: A closer look at the top four obstacles: legacy systems
Figure 18e: A closer look at the top four obstacles: legacy systems, by geography
Figure 18f: A closer look at the top four obstacles: legacy systems, by company size
Figure 19: Obstacles to digital transformation 2023 vs 2022
Figure 20: A closer look at concerns 2019 - 2023
Figure 21: A closer look at concerns, by geography
Figure 22: A closer look at concerns, by geography, 2023 vs 2022
Figure 23: Factors for successful digital transformation, 2023
Figure 24: Factors for successful digital transformation, 2023 vs 2022
Figure 25: Factors for successful digital transformation - a closer look by geography
Figure 26: Technologies that pharma is prioritizing for current investments
Figure 27: Increase in investment in emerging technologies due to inflation
Figure 28: Decrease in investment in emerging technologies due to inflation
Figure 29: Uptake of emerging technologies in the next two years
Figure 30: Job Analytic Graphs on AI and Big Data
Figure 31: Uptake of emerging technologies in the next two years, 2023 vs 2022
Figure 32: Most disruptive technologies in the upcoming two years
Figure 33: AI Can Be Used Across the Entire Pharma Value Chain
Figure 34a: Emerging Technologies and Pharmaceutical Value Chain
Figure 34b: Emerging Technologies and Pharmaceutical Value Chain
Figure 34c: Emerging Technologies and Pharmaceutical Value Chain
Figure 34d: Emerging Technologies and Pharmaceutical Value Chain
Figure 34e: Emerging Technologies and Pharmaceutical Value Chain
Figure 34f: Emerging Technologies and Pharmaceutical Value Chain
Figure 34g: Emerging Technologies and Pharmaceutical Value Chain
Figure 34h: Emerging Technologies and Pharmaceutical Value Chain
Figure 35a: Annual company reports with AI mentions
Figure 35b: AI sentiment - annual reports
Figure 36a: AI in Drug Discovery - Drugs by highest phase of development
Figure 36b: AI in Drug Discovery - Drugs by therapy area
Figure 37: What Is Generative AI?
Figure 38a: Respondents’ Thoughts on Generative AI
Figure 38b: Respondents’ Thoughts on Generative AI, by geography
Figure 39: Various areas of healthcare industry could benefit from generative AI
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Mayo Clinic
- Deloitte
- Immuneering
- InSilico Medicine
- Recursion Pharmaceuticals
- iSchemaView
- Healx
- AbSci
- OpenAI
- Google Cloud Platform
- Oncocross
- Oma Fertility
- Simlo.AI
- RIF Robotics
- Medicodio
